{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T08:31:23Z","timestamp":1726043483968},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030302436"},{"type":"electronic","value":"9783030302443"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-30244-3_60","type":"book-chapter","created":{"date-parts":[[2019,9,3]],"date-time":"2019-09-03T03:05:29Z","timestamp":1567479929000},"page":"731-743","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Improving the Classification of Q&A Content for Android Fragmentation Using Named Entity Recognition"],"prefix":"10.1007","author":[{"given":"Adriano Mendon\u00e7a","family":"Rocha","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcelo","family":"de Almeida Maia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,30]]},"reference":[{"key":"60_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jbi.2016.09.009","volume":"64","author":"B Bhasuran","year":"2016","unstructured":"Bhasuran, B., Murugesan, G., Abdulkadhar, S., Natarajan, J.: Stacked ensemble combined with fuzzy matching for biomedical named entity recognition of diseases. J. Biomed. Inform. 64, 1\u20139 (2016)","journal-title":"J. Biomed. Inform."},{"issue":"10","key":"60_CR2","first-page":"863","volume":"28","author":"EC Campos","year":"2016","unstructured":"Campos, E.C., Souza, L.B.L., Maia, M.A.: Searching crowd knowledge to recommend solutions for API usage tasks. J. Softw.: Evol. Process. 28(10), 863\u2013892 (2016)","journal-title":"J. Softw.: Evol. Process."},{"key":"60_CR3","doi-asserted-by":"crossref","unstructured":"Campos, E.C., Maia, M.A.: Automatic categorization of questions from Q&A sites. In: Proceedings of the 29th Annual ACM SAC 2014, pp. 641\u2013643 (2014)","DOI":"10.1145\/2554850.2555117"},{"issue":"11","key":"60_CR4","first-page":"1126","volume":"40","author":"B Dagenais","year":"2014","unstructured":"Dagenais, B., Robillard, M.P.: Using traceability links to recommend adaptive changes for documentation evolution. IEEE TSE 40(11), 1126\u20131146 (2014)","journal-title":"IEEE TSE"},{"key":"60_CR5","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.knosys.2013.12.010","volume":"57","author":"R Danger","year":"2014","unstructured":"Danger, R., Pla, F., Molina, A., Rosso, P.: Towards a protein-protein interaction information extraction system: recognizing named entities. Know.-Based Syst. 57, 104\u2013118 (2014)","journal-title":"Know.-Based Syst."},{"issue":"1","key":"60_CR6","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1186\/s13173-016-0049-0","volume":"22","author":"FM Delfim","year":"2016","unstructured":"Delfim, F.M., Paix\u00e3o, K.V.R., Cassou, D., Maia, M.A.: Redocumenting APIs with crowd knowledge: a coverage analysis based on question types. J. Braz. Comput. Soc. 22(1), 9 (2016)","journal-title":"J. Braz. Comput. Soc."},{"key":"60_CR7","doi-asserted-by":"crossref","unstructured":"Finkel, J.R., Grenager, T., Manning, C.: Incorporating non-local information into information extraction systems by gibbs sampling. In: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, ACL 2005, pp. 363\u2013370 (2005)","DOI":"10.3115\/1219840.1219885"},{"key":"60_CR8","doi-asserted-by":"crossref","unstructured":"Han, D., Zhang, C., Fan, X., Hindle, A., Wong, K., Stroulia, E.: Understanding Android fragmentation with topic analysis of vendor-specific bugs. In: Proceedings of the 2012 19th Working Conference on Reverse Engineering, WCRE 2012, pp. 83\u201392 (2012)","DOI":"10.1109\/WCRE.2012.18"},{"key":"60_CR9","doi-asserted-by":"crossref","unstructured":"Head, A., Appachu, C., Hearst, M.A., Hartmann, B.: Tutorons: generating context-relevant, on-demand explanations and demonstrations of online code. In: Proceedings of the 2015 IEEE Symposium on Visual Languages and Human-Centric Computing, VL\/HCC, pp. 3\u201312 (2015)","DOI":"10.1109\/VLHCC.2015.7356972"},{"key":"60_CR10","unstructured":"Liu, X., Zhang, S., Wei, F., Zhou, M.: Recognizing named entities in tweets. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, HLT 2011, vol. 1, pp. 359\u2013367 (2011)"},{"key":"60_CR11","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.procs.2016.09.123","volume":"100","author":"AP Quimbaya","year":"2016","unstructured":"Quimbaya, A.P., et al.: Named entity recognition over electronic health records through a combined dictionary-based approach. Procedia Comput. Sci. 100, 55\u201361 (2016)","journal-title":"Procedia Comput. Sci."},{"issue":"6","key":"60_CR12","doi-asserted-by":"publisher","first-page":"1558","DOI":"10.1007\/s10664-014-9323-y","volume":"20","author":"MP Robillard","year":"2014","unstructured":"Robillard, M.P., Chhetri, Y.B.: Recommending reference API documentation. Empir. Softw. Eng. 20(6), 1558\u20131586 (2014)","journal-title":"Empir. Softw. Eng."},{"key":"60_CR13","doi-asserted-by":"crossref","unstructured":"Rocha, A.M., Maia, M.A.: Automated API documentation with tutorials generated from stack overflow. In: Proceedings of the 30th Brazilian Symposium on Software Engineering, SBES 2016, pp. 33\u201342 (2016)","DOI":"10.1145\/2973839.2973847"},{"key":"60_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1007\/978-3-319-12844-3_24","volume-title":"Information Retrieval Technology","author":"H Shabat","year":"2014","unstructured":"Shabat, H., Omar, N., Rahem, K.: Named entity recognition in crime using machine learning approach. In: Jaafar, A., et al. (eds.) AIRS 2014. LNCS, vol. 8870, pp. 280\u2013288. Springer, Cham (2014). \n                      https:\/\/doi.org\/10.1007\/978-3-319-12844-3_24"},{"key":"60_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.infsof.2019.03.009","volume":"111","author":"L Souza","year":"2019","unstructured":"Souza, L., Campos, E., Madeiral, F., Paix\u00e3o, K., Rocha, A., Maia, M.: Bootstrapping cookbooks for APIs from crowd knowledge on Stack Overflow. Inf. Softw. Technol. 111, 1\u201316 (2019)","journal-title":"Inf. Softw. Technol."},{"key":"60_CR16","unstructured":"Souza, L.B.L., Campos, E.C., Maia, M.D.A.: Ranking crowd knowledge to assist software development. In: Proceedings of the 22nd International Conference on Program Comprehension, ICPC 2014, pp. 72\u201382 (2014)"},{"key":"60_CR17","doi-asserted-by":"crossref","unstructured":"Treude, C., Robillard, M.P.: Augmenting API documentation with insights from stack overflow. In: Proceedings of the 38st International Conference on Software Engineering (2016)","DOI":"10.1145\/2884781.2884800"},{"key":"60_CR18","doi-asserted-by":"crossref","unstructured":"Wei, L., Liu, Y., Cheung, S.C.: Taming Android fragmentation: characterizing and detecting compatibility issues for Android Apps. In: Proceedings of the 31st IEEE\/ACM International Conference on Automated Software Engineering, ASE 2016, pp. 226\u2013237 (2016)","DOI":"10.1145\/2970276.2970312"},{"issue":"5","key":"60_CR19","doi-asserted-by":"publisher","first-page":"783","DOI":"10.1007\/s11280-015-0361-1","volume":"19","author":"Y Yao","year":"2016","unstructured":"Yao, Y., Sun, A.: Mobile phone name extraction from Internet forums: a semi-supervised approach. World Wide Web 19(5), 783\u2013805 (2016)","journal-title":"World Wide Web"},{"key":"60_CR20","doi-asserted-by":"crossref","unstructured":"Yoshida, K., Tsujii, J.: Reranking for biomedical named-entity recognition. In: Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing, BioNLP 2007, pp. 209\u2013216 (2007)","DOI":"10.3115\/1572392.1572432"},{"issue":"10","key":"60_CR21","doi-asserted-by":"publisher","first-page":"803","DOI":"10.1145\/2544173.2509523","volume":"48","author":"Hao Zhong","year":"2013","unstructured":"Zhong, H., Su, Z.: Detecting API documentation errors. In: Proceedings of the ACM SIGPLAN OOPSLA 2013, pp. 803\u2013816 (2013)","journal-title":"ACM SIGPLAN Notices"}],"container-title":["Lecture Notes in Computer Science","Progress in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30244-3_60","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,3]],"date-time":"2019-09-03T03:14:28Z","timestamp":1567480468000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-30244-3_60"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030302436","9783030302443"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30244-3_60","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"30 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EPIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"EPIA Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vila Real","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"epia2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/epia2019.utad.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"252","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"119","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"47% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.32","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1.86","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}